Small Unmanned Aerial Systems (sUAS) must meet rigorous safety standards when deployed in high-stress emergency response scenarios; however many reported accidents have involved humans in the loop. In this paper, we, therefore, present the HiFuzz ...

There are currently multiple proposed security label designs for consumer products, with each prioritizing different security and privacy factors. These differences risk making product comparisons more confusing than informative. Standardized labels ...

Learning management systems are used for facilitating communication between instructors and students, dissemination of lecture materials, and grading of assignments. They collect large amounts of student data, necessary or otherwise, with or without ...

To address privacy concerns with the Internet of Things (IoT) devices, researchers have proposed enhancements in data collection transparency and user control. However, managing privacy preferences for shared devices with multiple stakeholders remains ...

Fallback authentication, the process of re-establishing access to an account when the primary authenticator is unavailable, holds critical significance. Approaches range from secondary channels like email and SMS to personal knowledge questions (PKQs) ...

Recent work explores how to educate and encourage users to protect their online privacy. We tested the efficacy of short videos for educating users about targeted advertising on Facebook. We designed a video that utilized an emotional appeal to explain ...

As phones have become cheaper, there are still instances where people share them. Researchers have explored the sharing in the context of developing economies and brought to light the barriers to ownership and highlight the resulting power differentials. ...

How do developers shape data protection regulations when they are passed from the policy arena to technical teams for compliance? This study explores data protection compliance work (DPCW) as a sociotechnical process mediated by developers’ attitudes ...

Non-Consensual Image-Disclosure Abuse (NCIDA) represents a subset of technology-facilitated sexual abuse where imagery and video with romantic or sexual connotations are used to control, extort, and otherwise harm victims. Despite considerable research ...

This paper explores how personal attributes, such as age, gender, technological expertise, or “need for touch”, correlate with people’s preferences for properties of tangible privacy protection mechanisms, for example, physically covering a camera. For ...

Two popular approaches for helping consumers avoid phishing threats are phishing awareness videos and tools supporting users in identifying phishing emails. Awareness videos and tools have each been shown on their own to increase people’s phishing ...

Trust in digital systems depends on secure hardware, often assured through HRE. This work develops methods for investigating human problem-solving processes in HRE, an underexplored yet critical aspect. Since reverse engineers rely heavily on visual ...

Users need to configure default apps when they first start using their devices. The privacy configurations of these apps do not always match what users think they have initially enabled. We first explored the privacy configurations of eight default apps ...

The Russian Invasion of Ukraine in 2022 resulted in a rapidly changing cyber threat environment globally and incentivized the sharing of security and privacy advice on social media. Previous research found a strong impact of online security advice on end-...

Login notifications intend to inform users about sign-ins and help them protect their accounts from unauthorized access. Notifications are usually sent if a login deviates from previous ones, potentially indicating malicious activity. They contain ...

This paper explores how blind and sighted individuals perceive real and spoofed audio, highlighting differences and similarities between the groups. Through two studies, we find that both groups focus on specific human traits in audio–such as accents, ...

With increased interest in leveraging personal data collected from 24/7 mobile sensing for digital healthcare research, supporting user-friendly consent to data collection for user privacy has also become important. This work proposes PriviAware, a ...

Algorithmic estimations of worker behavior are gaining popularity. Passive Sensing–enabled AI (PSAI) systems leverage behavioral traces from workers’ digital tools to infer their experience. Despite their conceptual promise, the practical designs of ...

Blind individuals commonly share photos in everyday life. Despite substantial interest from the blind community in being able to independently obfuscate private information in photos, existing tools are designed without their inputs. In this study, we ...

With the increasing usage of mental health applications (MHAs), there is growing concern regarding their data privacy practices. Analyzing 437 user reviews from 83 apps, we outline users’ predominant privacy and security concerns with currently ...